144 results about "Green development" patented technology

The invention discloses a battery life evaluation system and method based on different decline modes of a battery, and belongs to the technical field of battery management evaluation. Through combination of the data acquisition module and the information management module, battery manufacturing, operation and historical information is comprehensively acquired, accurate management of the whole life cycle of the battery is realized, the data analysis module and the performance evaluation module deeply analyze battery operation data, classify and identify recession modes and key influence factors, and the reliability of the battery is improved. The current performance and the remaining life of the battery are dynamically evaluated by combining a prediction model, decision making is simplified through health scoring, the battery management efficiency is improved, the adaptive performance optimization module adjusts battery parameters and temperature control strategies according to operation scenes, the performance and the life are balanced, active optimization and safety improvement are achieved, and the safety is improved. The carbon footprint evaluation module covers all stages of battery manufacturing, using and recycling, checks full-life-cycle carbon emission, traces the source of high emission links, provides low-carbon optimization suggestions, and assists enterprises in achieving the goal of green development.

The invention provides an electric vehicle charging demand prediction and scheduling method based on artificial intelligence, relates to the technical field of electric vehicle charging management, and integrates charging station historical data, user behavior modes and external environment factors through multi-mode deep learning, quantum computing optimization and dynamic user portrait generation technologies. Compared with a traditional method, the method has the advantages that the prediction error is reduced by about 30%, the prediction is particularly prominent in peak hours and extreme weather conditions, and meanwhile, charging resources in a region are integrated into a unified management unit through a virtual energy pool and an ecological self-adaptive scheduling mechanism, so that the prediction efficiency is improved. Distribution of the charging piles, new energy power generation and energy storage equipment is dynamically optimized, the utilization rate of the charging piles is increased by about 35%, and the utilization rate of new energy is increased by about 25%. According to the effect, resource waste is reduced, the contradiction between supply and demand of the charging station is relieved, more efficient charging service is provided for electric vehicle users, and meanwhile green development of an energy system is promoted.

The invention discloses a building decoration carbon emission optimization decision support system. The data acquisition unit acquires real-time data through the multi-source sensing device, and the data preprocessing unit performs abnormal value filtering, format unification and standardization operation on the real-time data. And the decision optimization unit integrates an intelligent dynamic strategy adjustment mechanism and a time sequence prediction model, and generates an optimization scheme through efficiency comparison incremental learning and feedback correction. And the visual output unit converts the scheme into a graphical display interface. In addition, the system is provided with a performance evaluation unit, the carbon emission reduction rate can be counted, the decision accuracy can be analyzed, the comprehensive efficiency score can be generated, and the data acquisition frequency and algorithm parameters can be dynamically adjusted. The system provides comprehensive support for carbon emission optimization of building decoration and assists green development of the building industry.

The invention discloses a wind-solar power generation and electric vehicle load cooperative control method based on user behaviors, and relates to the technical field of electric power system automation, and the method comprises the steps: obtaining historical power generation and real-time power generation data of a wind-solar power generation system according to an electric vehicle power load demand curve in a future time period, predicting a generating capacity curve of the wind-solar power generation system in the time period; performing matching analysis on the electric load demand curve of the electric vehicle and the wind-solar power generation curve to obtain a matching difference degree, and triggering cooperative control when the matching difference degree is greater than a preset threshold value; in the cooperative control, the generated power of the wind-solar power generation system and the actual power load of the electric vehicle are monitored in real time, the matching difference degree is calculated, and the generated power of the wind-solar power generation system is dynamically adjusted according to the change trend of the matching difference degree. The running cost of the electric vehicle is reduced, the utilization efficiency of wind and light power generation is improved, the energy utilization efficiency and the renewable energy permeability of the rail transit system are improved, and the purposes of energy conservation, emission reduction and green development are achieved.

The embodiment of the invention discloses a carbon emission monitoring method and device, a storage medium and a carbon emission terminal, and relates to the field of environment monitoring. According to the invention, the total ammeter data is automatically collected and the pre-training model is utilized to accurately identify the type and the number of the devices, so that fine decomposition of energy consumption is realized. And accurately calculating the carbon emission of each device in combination with the energy consumption of the device and the carbon emission factor, and then summarizing to obtain the total carbon emission. The process reduces manual intervention, improves the accounting efficiency, and ensures the accuracy of data. According to the scheme, enterprises can easily master the full view of carbon emission, solid data support is provided for formulating energy-saving and emission-reducing measures, and implementation of green development and sustainable development strategies is powerfully promoted.

The invention relates to the technical field of urban green development evaluation, and particularly discloses an urban green development level comprehensive evaluation method based on a digital technology, which comprises the following steps: constructing an urban green development level comprehensive evaluation index system and a digital technology development level comprehensive evaluation index system; urban index data are selected and preprocessed; a comprehensive evaluation model is constructed based on an entropy weight-TOPSIS method, the entropy weight method is used for determining the weight of each index, and the TOPSIS method is used for determining an evaluation index; analyzing a green development level index and a digital technology development level index of each city by using a comprehensive evaluation model; a spatial statistical analysis method, a random forest model and a VAR model are adopted to analyze a space-time effect and an interaction mechanism of digital technology development and urban green development. According to the method adopted by the invention, the limitation of traditional static evaluation is broken through, multi-dimensional coupling analysis of the digital technology and urban green development is realized, and scientific support can be provided for formulating a regional differentiation green development strategy.

The invention discloses a transformer operation stage carbon emission quantitative evaluation method and system, and belongs to the technical field of equipment carbon emission evaluation. The method comprises the steps that carbon emission sources of the transformer are determined, and the carbon emission sources comprise direct carbon emission and indirect carbon emission; aiming at indirect carbon emission, determining an electric energy loss value of the transformer within appointed time, and determining a carbon dioxide equivalent of electric power loss based on an electric power carbon dioxide emission factor; aiming at the direct carbon emission, determining the fault gas production rate of the transformer within the appointed time, and determining the carbon dioxide equivalent of the fault gas production based on the global warming potential value; and based on the power loss and the carbon dioxide equivalent of the fault produced gas, quantizing the carbon emission in the operation stage of the transformer within the specified time. According to the method, direct and indirect carbon emission of the transformer in the operation stage can be accurately quantified, and low-carbon transformation and green development of the power industry can be promoted.

The embodiment of the invention provides a method and device for analyzing the influence of policies on economy based on a CGE model, and the method comprises the steps: setting model parameters of the CGE model and the policy scene of each region in a domestic region set through constructing the CGE model and a solving equation set of the CGE model; and according to the model parameters and the policy scenario of each region in the domestic region set, solving the equation set through the CGE model to obtain the economic condition of the target region. Quantitative evaluation of regional economic and environmental benefits by green power development of a target region is realized, and comprehensive benefits of power structure adjustment, carbon emission reduction target realization and industrial optimization and upgrading under different policy scenarios can be accurately quantified, so that an enterprise is assisted in accurately identifying a green power value; and the government is assisted to scientifically formulate policies for promoting industrial green development and economic structure transformation.

The invention relates to the technical field of recycling of renewable resources, in particular to an asphalt pavement milling material cold-recycled prefabricated part and a preparation method, and the asphalt pavement milling material cold-recycled prefabricated part is prepared from the following raw materials in parts by weight: 45 to 53 parts of waste pavement milling material with the particle size of less than 4.75 mm, 19 to 27 parts of waste pavement milling material with the particle size of 4.75 to 9.5 mm, 20 to 28 parts of stone chips, 1 to 1.4 parts of mineral powder, 1.6 to 2.0 parts of silica fume, 4.6 parts of water, 2.3 to 2.7 parts of cement and 2.3 to 2.7 parts of foamed asphalt. According to the invention, the waste asphalt pavement milling material is used as the raw material of the concrete prefabricated component, so that the resource is saved, the utilization rate of the asphalt milling material is increased, and the green development concept is met; the prefabricated parts are manufactured through a cold regeneration process, compared with a traditional hot mix plant regeneration process, energy is saved, environment friendliness is achieved, emission of greenhouse gas is reduced, and therefore the problems that the hot mix plant regeneration mode is high in cost and carbon emission are solved.

The invention provides a distributed elastic energy management method for a ship integrated energy system. The distributed elastic energy management method comprises the following steps: S1, calculating energy communication network nodes and corresponding center nodes based on a node clustering algorithm; s2, constructing an energy management model of the ship integrated energy system based on an energy cluster node division result and a corresponding center node; s3, designing a completely distributed energy management method under a normal navigation working condition based on the energy management model of the ship integrated energy system; s4, setting an abnormal energy equipment node detection mechanism; s5, designing a distributed energy management method capable of resisting ship domain energy communication network attacks based on an abnormal energy equipment node detection mechanism and the ship integrated energy system energy management model; according to the method, a new, effective and safe solution thought is provided for analysis of the energy management problem of the ship comprehensive energy system, green development of the shipping industry can be effectively improved, and meanwhile the safety performance of ship navigation is improved from the aspect of energy supply.

The utility model relates to a system for reducing carbon dioxide emission in a coking production process. The system comprises a coke oven heating system, a flue gas desulfurization and denitrification system, a CO2 absorption and analysis system, a methanol synthesis system, a wind power / photovoltaic power generation system, an energy storage system, a water electrolysis hydrogen production system, a hydrogen storage system and a methanol storage system. According to the device, the emission of coke oven flue gas CO2 to the atmosphere can be effectively reduced, the CO2 in the coke oven flue gas can be captured and converted into a green methanol fuel, and the CO2 generated by combustion is not discharged when the green methanol fuel is used as a heating fuel of a coke oven, so that the cyclic utilization and green development of the CO2 are realized.

The invention discloses a network frame project evaluation method and device for a power distribution network, and the method comprises the steps: obtaining a power distribution network data set based on power grid equipment data and a power grid topological graph, and the power grid equipment data is the data of all equipment in the power distribution network; analyzing the power distribution network data set, and determining a network frame project; giving a plurality of evaluation dimensions of the net rack project, and configuring a corresponding evaluation index for each evaluation dimension; evaluating the network frame project in combination with the power distribution network data set to obtain an evaluation result; wherein the evaluation dimension comprises a green development dimension, and the green development dimension is used for evaluating the sustainability of the net rack project. Through integration of various data in the power distribution network and extraction of the network frame project, a good data basis is provided for evaluation of various network frame projects in the power distribution network, on the basis, multiple dimensions including the green development dimension of the network frame project are evaluated, and the comprehensiveness and accuracy of evaluation of the power distribution network and the network frame project are improved.

The invention discloses a multi-energy complementation zero-carbon service area construction method, and relates to the technical field of multi-energy complementation, and the construction method comprises the steps: selecting an optimal construction address based on the topographic data of a research area, evaluating the carbon emission at the optimal construction address in combination with the energy consumption prediction, and generating a zero-carbon construction scheme through the carbon emission; on the basis of the zero-carbon construction scheme and climate conditions, designing a construction scheme of the zero-carbon service area at the optimal construction address, and constructing the zero-carbon service area according to the construction scheme; the operation data of the zero-carbon service area is acquired by using a sensor, and control logic is generated based on the operation data to adjust the operation state of each energy facility so as to realize the purpose of multi-energy complementation. According to the invention, the energy utilization efficiency is improved, the carbon emission is reduced, the self-management and optimization capability of the service area is enhanced, and a new thought and technical support are provided for green development of the traffic transportation industry.

The invention designs an environment-friendly blowout device suitable for a high-salinity gas well, and belongs to the technical field of unconventional petroleum and natural gas extraction. The device comprises a two-stage concentric liquid remover and a combustion purification system which are connected in sequence. The two-stage concentric liquid remover realizes efficient separation of gas, liquid and solid phases through two-stage centrifugal separation. And a self-adaptive liquid discharge and gas control mechanism is arranged at the bottom of the two-stage concentric liquid remover, so that flow fluctuation self-adaptive sealing can be realized. Pretreated gas enters a combustion tank, is discharged through a torch pipe and is ignited, and generated combustion gas and solid particles are sprayed and purified in all directions and sprayed liquid is recycled through a spraying and recycling device above the combustion gas and the solid particles. The device integrates multiple technical functions such as buffering and pressure stabilizing, multi-phase separation, all-directional spraying purification, fire-liquid isolation, flow fluctuation self-adaption, automatic sealing, explosion prevention and fire retardance, the three-phase separation efficiency is remarkably improved, salting-out particles entering the environment are reduced, and equipment and technical supports are provided for green development of a hypersalinity gas well.

The invention discloses a gold mine exploration method and system, and relates to the technical field of prospecting exploration, and the method comprises the steps: carrying out the comprehensive research of a research region, and obtaining a prospecting target region; large-scale soil measurement is carried out on the prospecting target area, geochemical anomalies are identified, and the prospecting range is narrowed to determine the positions of the anomalies; constructing an exploring groove at the abnormal position by utilizing a groove exploring project to reveal a surface covering layer so as to find out occurrence and distribution characteristics of the underground ore body; when the occurrence and distribution characteristics of the underground ore body are not found out in the groove exploration construction, the occurrence and distribution characteristics of the underground ore body are found out by adopting a geophysical prospecting accurate measurement profile; and exposing the found underground ore body at the abnormal position through drilling engineering. According to the method, the adverse effect on the ecological environment can be minimized, and green development of geological exploration is promoted.

The invention relates to the technical field of oil and gas field environment monitoring, and particularly discloses a digital intelligent risk assessment method, platform and equipment for an oil and gas field environment. The method comprises the following steps: acquiring environmental monitoring data of an oil and gas field, the environmental monitoring data comprising pollutant concentration data and meteorological data; the environment monitoring data is preprocessed; constructing an environmental protection regulation knowledge graph; matching the preprocessed environmental monitoring data with the environmental protection regulation knowledge graph to generate a matching result; evaluating the environmental risk level of the oil and gas field according to the matching result; and outputting an environmental risk assessment result according to the environmental risk level. According to the method, through data preprocessing and knowledge graph matching, automatic compliance assessment and risk quantification of environmental indexes are realized, the timeliness and accuracy of risk identification are improved, preventive intervention is supported, and the method is suitable for green development and management of oil and gas fields.

The invention discloses an industrial park carbon emission metering method based on a carbon emission flow theory and green electricity auxiliary service. The method comprises the following steps: S100, constructing an industrial park carbon emission metering model; s200, confirming and issuing a carbon emission factor; s300, data acquisition is carried out; s400, direct carbon emission metering, indirect carbon emission metering and green electricity auxiliary service carbon emission influence metering are carried out according to the issued carbon emission factors and data obtained through data acquisition; according to the method, the influence of direct carbon emission, indirect carbon emission and green electricity auxiliary service on carbon emission in the industrial park is comprehensively considered, and compared with a traditional metering method, the real carbon emission condition of the industrial park can be reflected more comprehensively and accurately. By accurately metering the carbon emission, the industrial park is helped to formulate a more scientific and reasonable energy conservation and emission reduction strategy, the energy utilization efficiency is improved, and green development is promoted.

The application provides a watershed shoreline sustainable development dynamic evaluation method, comprising the following steps: constructing a water environment carrying capacity and shoreline green development index judgment matrix; dynamically analyzing a weight vector through a neural network; synthesizing a carrying capacity index and a green development index based on the weight; dynamically correlating the two indexes by establishing a coupling function; and outputting a sustainable development index. Four major capabilities are broken through and jumped: a spatial correction matrix breaks through administrative barriers and enhances cross-border consistency; a multi-task neural network self-adapts weight adjustment in dry seasons; an entropy value gate fusion suppresses index noise; a pulse neural network coupling function avoids critical point distortion; and a digital twin body constructs an evolutionary benchmark. The method forms a "spatial coupling-dynamic weighting-intelligent synthesis-collaborative correlation-twin evolution" full-chain innovation, solves the problems of evaluation fragmentation, rule rigidity, index imbalance and management disconnection, and promotes the watershed management to adapt to the collaborative paradigm.

The invention provides a waste recovery task resource allocation system, and relates to the technical field of waste recovery resource allocation. According to the method, recycling point information and waste characteristic periodic changes can be accurately obtained and analyzed, a solid foundation is provided for future resource estimation, resource waste and shortage are avoided, meanwhile, intelligent decision making and efficient management are supported, waste recycling persons are helped to make more intelligent and efficient decisions by revealing the relevance between recycling points, and secondly, waste recycling efficiency is improved. According to the method, the recovery points are divided into sections of different levels according to the associated threshold values, and the corresponding resource allocation strategies are set, so that the method of partition management not only facilitates the unified scheduling and allocation of resources, but also enables the system to flexibly cope with various emergencies and demand changes, and improves the utilization rate of resources. The efficiency of waste recovery tasks and the rationality of resource allocation are remarkably improved, and then by optimizing resource allocation and improving the recovery efficiency, waste accumulation and environmental pollution are reduced, and cyclic utilization of resources and green development of economy are promoted.

The invention relates to the technical field of bridge tower structures, in particular to a wind power combined type wind-resistant stable bridge tower structure and a construction method thereof. According to the technical scheme, the wind power generation device comprises two combined bridge towers, a cross beam is fixedly installed between the two adjacent combined bridge towers, the wind power generation device further comprises wind nozzles fixedly installed on the combined bridge towers, and wind power generation devices are fixedly installed on the two sides of the combined bridge towers. The wind nozzle and the wind power generation device are combined, wind energy is fully utilized, power can be directly supplied to facilities such as street lamps on a bridge floor, carbon emission of a building is reduced, the green development concept is met, the structural form is suitable for a large-span bridge tower structure, the wind resistance of the bridge tower is improved, and meanwhile the purpose of reducing carbon is achieved through the wind energy.

The invention provides underground carbon dioxide pre-fracturing sand injection permeability increasing and CCUS equipment and method, and belongs to the technical field of energy and mineral engineering, and the equipment comprises a high-pressure pump injection system, a high-pressure sand injection system, an array type sound wave monitoring system, a gas liquefaction separation system and a main monitoring system; the high-pressure pumping system comprises a fluid high-pressure storage system and a pumping monitoring system; the method comprises the steps that all the devices are connected after drilling, the monitoring system controls pumping of high-pressure water or high-pressure acid gas fluid or solid-liquid-gas multi-phase fluid, array type sound waves are combined to monitor and regulate the rock stratum fracture form, CO2 is recycled after fracturing, and the carbon sequestration amount, the capture amount and the utilization rate are analyzed. According to the device and the method, integration of fracturing anti-reflection and carbon capture, utilization and sealing is achieved, the operation efficiency and the safety are improved, and the device and the method can be popularized to the ground to assist double-carbon target achievement and deep resource green development in the energy field.

This invention discloses a method and system for quantitatively assessing carbon emissions during transformer operation, belonging to the technical field of equipment carbon emission assessment. The method includes: determining the sources of carbon emissions from the transformer, including direct and indirect carbon emissions; for indirect carbon emissions, determining the transformer's power loss value within a specified time period, and determining the carbon dioxide equivalent of the power loss based on the power carbon dioxide emission factor; for direct carbon emissions, determining the transformer's fault gas generation within the specified time period, and determining the carbon dioxide equivalent of the fault gas generation based on the global warming potential; and quantifying the carbon emissions during the transformer operation phase within the specified time period based on the power loss and the carbon dioxide equivalent of the fault gas generation. This invention can accurately quantify the direct and indirect carbon emissions of transformers during operation, and can promote the low-carbon transformation and green development of the power industry.

This invention discloses a method for assessing urban land green efficiency based on cross-regional technology flow maps. The method acquires the technology input factors, technology output factors, and land input factors of the target city and its related cities through data collection and processing rules, forming a basic data set. Based on cross-regional technology association determination rules, it identifies the correspondence between different cities in terms of technology transfer, technology output, and technology absorption, generating a cross-regional technology flow map. Based on this map, it constructs a set of land green efficiency influencing factors. By introducing the impact of cross-regional technology flow into the correspondence between land input and output, it achieves a comprehensive assessment of the target city's land green efficiency. This invention can reflect the impact of cross-regional technology flow on urban land green utilization efficiency, improves the objectivity and comparability of assessment results, and is applicable to urban green development assessment and land resource management decision-making scenarios.

The invention relates to a mix proportion design method and application of machine-made sand concrete doped with a dry cleaning and slurry wrapping medium, and aims to solve the technical problem of efficient resource utilization of the dry cleaning and slurry wrapping medium of a concrete mixing truck. By means of the machine-made sand concrete mix proportion design method, the slurry wrapping medium generated by dry cleaning of a concrete mixing truck can be completely utilized in a resource mode, the concrete mix proportion design efficiency is improved, the test period is shortened, the cement consumption is reduced, and the economic cost is reduced; the environment pollution caused by waste water and waste slurry generated by washing the concrete mixing transport vehicle is avoided, the development of the dry cleaning technology of the concrete mixing transport vehicle can be promoted, no waste is generated in cleaning of the concrete mixing transport vehicle, and the clean and sustainable green development of the premixed concrete industry is promoted.

The utility model relates to a scattered-page desk calendar showing stand, and aims to solve the problems that when a current scattered-page desk calendar is placed on a desktop, the scattered-page desk calendar is mainly supported by a support matched with the scattered-page desk calendar, the scattered-page desk calendar needs to be packaged in cooperation with a package besides the support, and in the actual production process, the cost needed by the scattered-page desk calendar is high, and the production efficiency is high. The utility model solves the technical problems in the prior art that the prior art cannot meet the green development concept, and comprises a plurality of scattered-page calendars of which one sides are provided with protruding pages in the middle and a deformable supporting assembly used for packaging the scattered-page calendars, the deformable supporting assembly has a packaging state and a supporting state, and the deformable supporting assembly comprises a supporting plate and a bottom plate; a supporting part is connected between the supporting plate and one end of the bottom plate, the supporting part is matched with the supporting plate and the bottom plate to package or support a plurality of scattered-page calendars, the scattered-page calendar can be supported and displayed through deformation of package, the processing cost of the scattered-page calendar is greatly reduced, and the scattered-page calendar conforms to the concept of green development.

The invention relates to the field of supply chain screening, in particular to an enterprise transportation supplier evaluation method and device fusing carbon emission factors. According to the method, influences of multiple factors such as the carbon emission condition, the cargo transportation volume, the expenditure amount and the mileage of a transportation supplier in two statistical periods are comprehensively considered, the performance conditions of the supplier in multiple dimensions such as the carbon emission, the transportation efficiency and the expenditure amount are comprehensively evaluated, and optimal management of an enterprise transportation supply chain is achieved; meanwhile, the carbon emission efficiency is incorporated into an evaluation system for screening suppliers, the trend of green development is met, and the comprehensive management requirement of an enterprise for a green supply chain is met.

The application discloses a kind of power grid operation power distribution optimization methods for monitoring multidimensional data, utilize the sensor network distributed in each key node of power distribution network to realize multidimensional data acquisition, the multidimensional data collected are received and cleaning operation is realized, based on the multidimensional fusion of load change prediction result, power supply resource use priority and power supply consumption value generates power distribution optimization strategy, and the application relates to power distribution management technical field.The power grid operation power distribution optimization method for monitoring multidimensional data, by constructing the double threshold prediction rule of "change rate threshold and load total amount threshold", the abnormal change rate weight threshold and average load threshold are calculated by historical load data, can predict load change trend and abnormal situation in advance, avoid overload or power supply shortage caused power grid failure, improve power grid operation stability, and fully tap clean power supply resources in the region, realize the collaborative scheduling of clean resources and traditional power grid power supply, meet the energy green development trend.

The invention discloses a thermal power generation system efficiency measurement method based on a DBSCAN algorithm and a DEA model. The method comprises the following steps: 1, constructing an index system for evaluating the efficiency of a thermal power generation system; 2, performing homogeneity test on each secondary index based on a DBSCAN algorithm to obtain a homogeneous thermal power generation system; 3, calculating a primary index comprehensive cross efficiency value of the homogeneous thermal power generation system by using a cross efficiency DEA model; 4, complementing each first-level index missing value based on a KNN algorithm; and 5, calculating the efficiency of the thermal power generation system based on a weighted comprehensive scoring method. According to the method, an evaluation system with high efficiency, high precision and high robustness is realized, and a scientific tool is provided for efficiency optimization and green development of a thermal power generation system.

The invention discloses a green low-carbon treatment device for landfill leachate. The method belongs to the field of landfill leachate treatment. The problems of durability, biological accumulation and toxicity caused by the existing landfill leachate are solved. The device comprises a landfill leachate collecting tank, a three-dimensional electrolysis pretreatment tank, a sulfur circulation multi-stage anaerobic biological treatment tank, a sedimentation tank, an ozone catalysis device and a tail end biological enhancement filter tank which are connected in sequence. According to the invention, the removal of ammonia nitrogen, total phosphorus and refractory organic matters and the reduction of sludge in the biological treatment section are realized, and the effluent is ensured to reach the discharge standard in Pollution Control Standard for Household Refuse Landfill (GB 16889-2008). According to the invention, full quantification and low carbonization of landfill leachate treatment are realized, and the treatment cost is greatly reduced. According to the present invention, the environmental pollution problem can be easily solved, the water resource and the ecological environment can be protected, the technical progress and the industrial upgrading of the water treatment industry can be promoted, and the implementation of the green development and the sustainable development strategy can be promoted.

The utility model relates to the field of building outer walls, in particular to a pipeline penetrating structure suitable for an outer wall of a fabricated ultra-low-energy-consumption building, which comprises a prefabricated concrete sandwich outer wall component and an outer wall pipeline penetrating structure, the prefabricated concrete sandwich outer wall component is characterized in that the prefabricated concrete sandwich outer wall component is formed by combining a prefabricated concrete outer acanthus (1), a sandwich heat preservation layer (2) and a prefabricated concrete inner acanthus (3), a pipeline (6), heat preservation rock wool (4), a waterproof vapor-permeable film (8) and a waterproof vapor-proof film (9) are arranged in a prefabricated component reserved hole (12), and an exhaust windproof cover (5) and building sealant (7) are further arranged on the outdoor side. The indoor side further comprises a connecting device (10) and a rubber and plastic heat preservation device (11). By the adoption of the technical scheme, the problems of broken bridge heat preservation, air tightness and waterproof leakproofness of the outer wall hole penetrating position of the ultralow-energy-consumption fabricated building are solved, the durability of the building is improved, the installation speed of the building is increased, and building industrialization and green development are promoted.